Ricardo Santos

Orcid: 0000-0002-4478-2476

Affiliations:
  • Associação Fraunhofer Portugal Research, Porto, Portugal


According to our database1, Ricardo Santos authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources.
Int. J. Medical Informatics, February, 2024

2023
Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series.
Inf. Fusion, December, 2023

Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation.
J. King Saud Univ. Comput. Inf. Sci., June, 2023

A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery.
Proceedings of the Progress in Artificial Intelligence, 2023

INCOGNITUS: A Toolbox for Automated Clinical Notes Anonymization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Pattern Recognition and Classification of Low-Intensity Emotions from Physiological Data.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2021
Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors.
Sensors, 2021

Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings.
IEEE Access, 2021

A Novel Approach for User Equipment Indoor/Outdoor Classification in Mobile Networks.
IEEE Access, 2021

2020
An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning.
Sensors, 2020

2019
Fingerprints and Floor Plans Construction for Indoor Localisation Based on Crowdsourcing.
Sensors, 2019

Determination of the Walking Direction of a Pedestrian from Acceleration Data.
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019


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